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Minmin Chen
Minmin Chen
Research scientist, Google
在 google.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
10192012
Co-training for domain adaptation
M Chen, KQ Weinberger, J Blitzer
Advances in neural information processing systems 24, 2011
5102011
Top-k off-policy correction for a REINFORCE recommender system
M Chen, A Beutel, P Covington, S Jain, F Belletti, EH Chi
Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019
4422019
Fast image tagging
M Chen, A Zheng, K Weinberger
International conference on machine learning, 1274-1282, 2013
2772013
AntisymmetricRNN: A dynamical system view on recurrent neural networks
B Chang, M Chen, E Haber, EH Chi
arXiv preprint arXiv:1902.09689, 2019
2202019
Learning with marginalized corrupted features
L Maaten, M Chen, S Tyree, K Weinberger
International Conference on Machine Learning, 410-418, 2013
2022013
Marginalized denoising auto-encoders for nonlinear representations
M Chen, K Weinberger, F Sha, Y Bengio
International conference on machine learning, 1476-1484, 2014
1712014
Efficient vector representation for documents through corruption
M Chen
arXiv preprint arXiv:1707.02377, 2017
1572017
Cost-sensitive tree of classifiers
Z Xu, M Kusner, K Weinberger, M Chen
International conference on machine learning, 133-141, 2013
1452013
Automatic Feature Decomposition for Single View Co-training.
M Chen, KQ Weinberger, Y Chen
ICML 2 (3), 5, 2011
1242011
Dynamical isometry and a mean field theory of RNNs: Gating enables signal propagation in recurrent neural networks
M Chen, J Pennington, S Schoenholz
International Conference on Machine Learning, 873-882, 2018
1182018
Classifier cascades and trees for minimizing feature evaluation cost
Z Xu, MJ Kusner, KQ Weinberger, M Chen, O Chapelle
The Journal of Machine Learning Research 15 (1), 2113-2144, 2014
1062014
Classifier cascade for minimizing feature evaluation cost
M Chen, Z Xu, K Weinberger, O Chapelle, D Kedem
Artificial Intelligence and Statistics, 218-226, 2012
100*2012
Off-policy learning in two-stage recommender systems
J Ma, Z Zhao, X Yi, J Yang, M Chen, J Tang, L Hong, EH Chi
Proceedings of The Web Conference 2020, 463-473, 2020
842020
Towards neural mixture recommender for long range dependent user sequences
J Tang, F Belletti, S Jain, M Chen, A Beutel, C Xu, E H. Chi
The World Wide Web Conference, 1782-1793, 2019
822019
Toward a two-tier clinical warning system for hospitalized patients
G Hackmann, M Chen, O Chipara, C Lu, Y Chen, M Kollef, TC Bailey
AMIA Annual Symposium Proceedings 2011, 511, 2011
462011
An alternative text representation to tf-idf and bag-of-words
M Chen, KQ Weinberger, F Sha
arXiv preprint arXiv:1301.6770, 2013
45*2013
User response models to improve a reinforce recommender system
M Chen, B Chang, C Xu, EH Chi
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
372021
Minimalrnn: Toward more interpretable and trainable recurrent neural networks
M Chen
arXiv preprint arXiv:1711.06788, 2017
342017
Dynamical isometry and a mean field theory of LSTMs and GRUs
D Gilboa, B Chang, M Chen, G Yang, SS Schoenholz, EH Chi, ...
arXiv preprint arXiv:1901.08987, 2019
322019
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